Google Coral Dev Board
A single-board computer with a removable system-on-module for edge AI applications.
Best for
Rapid prototyping of low-power edge AI devices using TensorFlow Lite.
Skip if
You need sustained heavy workloads or guaranteed long-term hardware availability.
What is Google Coral Dev Board?
The Google Coral Dev Board is a powerful single-board computer designed for rapid prototyping of low-power edge AI devices. It features Google's proprietary Edge TPU coprocessor, capable of performing 4 trillion operations per second while consuming very little energy. Equipped with a complete system containing NXP i.MX 8M SoC, LPDDR4 RAM, and onboard wireless connectivity, the board runs a specialized Debian-based Linux system called Mendel. It provides developers with a complete, out-of-the-box environment to build and deploy high-performance machine learning models locally at the edge.
SpecificationsAI-estimated
Key Features of Google Coral Dev Board
Use Cases for Google Coral Dev Board
Smart Security Cameras
Deploy local facial recognition and object detection in security systems without relying on cloud bandwidth.
Industrial Automation
Implement real-time quality control and defect detection on manufacturing assembly lines using computer vision.
Smart Home Hubs
Build responsive voice-controlled assistants and automation controllers that process audio commands entirely offline.
Edge AI Prototyping
Rapidly prototype machine learning concepts and test neural network models in a physical hardware environment.
Pros & Cons of Google Coral Dev Board
Pros
- High-speed local inferencing via Edge TPU
- Removable SOM simplifies custom board design
- Full Linux development environment
- Low power consumption during heavy AI workloads
Cons
- Can run quite warm under sustained heavy loads
- Limited to TensorFlow Lite models
- Discontinued or supply-constrained availability in recent years
Frequently Asked Questions
What is the Edge TPU?
The Edge TPU is a small ASIC designed by Google that provides high-performance machine learning inferencing for low-power devices.
Can I run standard full TensorFlow models on it?
No, models must be converted and quantized to TensorFlow Lite format to run on the Edge TPU.
What operating system does the Dev Board use?
It runs Mendel Linux, which is a derivative of Debian designed specifically for the board's architecture.
Is the system-on-module removable?
Yes, the baseboard features a removable SOM using a board-to-board connector so you can integrate it into your own custom carrier boards.
Pricing Overview
View full pricing →Detailed plans are not listed. Visit the official website for pricing information.
Reviews & Ratings0.0
No reviews yet. Be the first to write one!
Top Alternatives & Similar Tools
View all alternatives & similar tools →No alternatives available yet.
People also viewed
Related searches
About the Tool
Is this your tool?
Claim this page to update details, reply to user reviews, and drive more traffic to your product.
Claim this Product →